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Enregistrement W2979745798 · doi:10.1182/blood.v124.21.1389.1389

Divergence from Hardy Weinberg Equilibrium in Newborn Screening Cohorts for Sickle Hemoglobin

2014· article· en· W2979745798 sur OpenAlexaboutno aff
Thomas V. Adamkiewicz, Frédéric B. Piel

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésConfidence intervalMedicineNewborn screeningRelative riskSickle cell anemiaHemoglobinPediatricsInternal medicineGastroenterologyDemographyDisease

Résumé

récupéré en direct d'OpenAlex

Abstract Newborn screening (NBS) for hemoglobinopathies was first introduced in the 1970's to prevent infectious complications of homozygous sickle cell disease (hemoglobin [Hb] SS). The frequency of HbSS in newborns can be estimated using carrier rates (heterogygotes), assuming Hardy Weinberg Equilibrium (HWE). The current study examined whether NBS cohorts matched expected HWE distribution, and possible reasons for divergence. For the purpose of this study, all variants other than HbS were considered to be HbA. A total of 82 studies (1956 to 2013) were retrieved, of which 7 were excluded (carrier parents selected or screening sickle test used). Distribution of Hb SS, AS and AA was examined in 75 studies, from the following regions: Sub Saharan Africa n=26, Brazil n=12, USA n=12, EU n=10; Middle East/North Africa n=7, Caribbean n=6, India n=1, Canada n=1. The following screening laboratory methods were used: cellulose acetate electrophoresis (n=22), isoelectric focusing (n=21), high performance liquid chromatography (n=16), filter paper or micro column (n=7), other (n=9). A total of16,377,450 newborns or infants were included. In mixed random models, relative risk (RR) of detecting HbSS compared to expected HWE distribution was 2.06 (95% confidence interval [CI] 1.86, 3.66), p<0.001. In cohorts where HbAS carrier rates was >= 15%, RR was 1.44 (95% CI 1.23, 1.70), p=0.005; if carrier rates were between >=5% and <15%, RR was 1.62 (95% CI 1.20, 2.19), p=0.004; if carrier rates were <5%, RR was 5.74 (95% CI 3.4, 9.78), p<0.001. Thirteen studies provided data by subgroup: place of origin, ethnicity or race. Affected individuals were more likely to cluster in studies with lower HbS gene frequency (figure 1). Conversely, HbSS RR observed compared to expected HWE distribution was highest in populations with lowest overall gene frequency (figure 2). Overall RR for detecting HbAS compared to expected was 0.96 (95% CI 95, 97) p<0.001. Controlling for gene frequency, the Caribbean region was least likely to deviate from the expected HWE distribution, compared to other regions (RR 1.05, 95% CI 1.01, 1.05, P=0.007); cellulose acetate electrophoresis based methods were most likely to deviate from expected HWE distribution, compared to other methods (RR 0.97, 95%CI 0.95, 0.100, p=0.038). Deviation from HWE is commonly observed in NBS cohorts. It is an expected finding when smaller populations (e.g.migration) carrying a gene, exist within a larger population less affected with the same gene. However, even when controlling for gene frequency, regional variations were noted. Reasons may include further variations in population homogeneity, non-random mating within smaller groups (consanguinity), variations in hemoglobin variant distribution (alpha, beta thalassemia, fetal hemoglobin expression). Lab methods may also affect agreement with HWE distribution, as correct classification of non-affected individuals may vary between methods (normal homozygotes, variants and carriers). Divergence from HWE, especially when observed HbSS occurrence is less than expected, or when population Hb S gene distribution is known, may serve as a rapid and inexpensive quality control measure. Further examination of possible reasons for HWE deviation and caution when estimating burden of disease using carrier rates derived from NBS cohorts appear warranted. Figure 1: Distribution of the hemoglobin (Hb) S gene within a population in studies that provided data on subgroups, depending on Hb S gene frequency. Figure 1:. Distribution of the hemoglobin (Hb) S gene within a population in studies that provided data on subgroups, depending on Hb S gene frequency. Figure 2: Relative Risk (RR) of observing Hb SS compared to expected HWE. Diagonal line on left indicate a hypothetical population with a Hb AS carrier rate of 5% that is gradually diluted into a homozygote Hb AA population; diagonal line of right represents a similar hypothetical population with a Hb AS carrier rate of 30%. Figure 2:. Relative Risk (RR) of observing Hb SS compared to expected HWE. Diagonal line on left indicate a hypothetical population with a Hb AS carrier rate of 5% that is gradually diluted into a homozygote Hb AA population; diagonal line of right represents a similar hypothetical population with a Hb AS carrier rate of 30%. Disclosures No relevant conflicts of interest to declare.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,046
score de la tête « metaresearch » (Gemma)0,096
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,046
Score d'incertitude au seuil0,243

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0460,096
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,237
Écart entre enseignants0,226 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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